scholarly journals Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Brinnae Bent ◽  
Peter J. Cho ◽  
Maria Henriquez ◽  
April Wittmann ◽  
Connie Thacker ◽  
...  

AbstractPrediabetes affects one in three people and has a 10% annual conversion rate to type 2 diabetes without lifestyle or medical interventions. Management of glycemic health is essential to prevent progression to type 2 diabetes. However, there is currently no commercially-available and noninvasive method for monitoring glycemic health to aid in self-management of prediabetes. There is a critical need for innovative, practical strategies to improve monitoring and management of glycemic health. In this study, using a dataset of 25,000 simultaneous interstitial glucose and noninvasive wearable smartwatch measurements, we demonstrated the feasibility of using noninvasive and widely accessible methods, including smartwatches and food logs recorded over 10 days, to continuously detect personalized glucose deviations and to predict the exact interstitial glucose value in real time with up to 84% and 87% accuracy, respectively. We also establish methods for designing variables using data-driven and domain-driven methods from noninvasive wearables toward interstitial glucose prediction.

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Julie C. Lauffenburger ◽  
Mufaddal Mahesri ◽  
Niteesh K. Choudhry

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 50-LB
Author(s):  
JOHN B. HERNANDEZ ◽  
AMY ARMENTO LEE ◽  
SCOTT ROBERTSON ◽  
CARA SILVER ◽  
AMIT MAJITHIA

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2180-PUB
Author(s):  
ADDIE L. FORTMANN ◽  
ALESSANDRA BASTIAN ◽  
CODY J. LENSING ◽  
SHANE HOVERSTEN ◽  
KIMBERLY LUU ◽  
...  

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Li Yang ◽  
Kun Li ◽  
Yan Liang ◽  
Qiuli Zhao ◽  
Dan Cui ◽  
...  

Abstract Background It has previously been established that patients who have strong barriers to their diet self-management are more likely to have weak social support; however, the key mechanisms underlying the association between these two variables have not yet been established. This study aims to examine the potential role that diet self-efficacy plays in the relationship between social support and diet behavior in patients with type 2 diabetes mellitus (T2DM). Methods It was a cross-sectional survey. Three hundred-eighty patients diagnosed with T2DM were recruited for this study from five community health centers in China. The Chronic Disease Resource Scale (CIRS), Cardiac Diet Self-efficacy Scale (CDSE), and Food Control Behavior Scale (FCBS) were used to estimate participants’ utilization of social resources, diet self-efficacy, and diet self-management, respectively. The data were analyzed utilizing structural equation modelling. Results The results suggest that both higher levels of social support and diet self-efficacy are related to higher levels of diet self-management. The mediating effect that diet self-efficacy has on the relationship between social support and diet self-management was significant (β = .30, p < .05), explaining 55.68% of the total effect of social support on diet self-management. Conclusions Diet self-efficacy plays a mediating role in the association between social support and diet behavior in patients with type 2 diabetes mellitus.


2021 ◽  
pp. 1-21
Author(s):  
Julie Ayre ◽  
Carissa Bonner ◽  
Danielle M. Muscat ◽  
Sian Bramwell ◽  
Sharon McClelland ◽  
...  

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